Data Scientist (Sql, Aws) - Johannesburg – R1Mil To R1.3Mil Per Annum

E-Merge; Johannesburg; On-site; ZAR 1,000,000 - 1,300,000; Full time

Job summary

Join a forward-thinking organization that is committed to investing in exceptional talent. This role involves designing, analyzing, and enhancing predictive models throughout the credit life cycle. You will play a crucial role in developing analytical reporting solutions while conducting research to identify predictors and improve model development practices. The position offers a collaborative environment where your expertise in data science, machine learning, and credit risk analysis will drive impactful decisions. If you are passionate about leveraging your analytical skills to influence business outcomes, this opportunity is perfect for you.

Qualifications

• 5 to 8 years of commercial data analytics experience required.
• Experience with structured and unstructured data is essential.

Responsibilities

• Design and enhance predictive models across the credit life cycle.
• Translate business requirements into analytical reporting solutions.

Skills

Active Learner

Change Agility

Credit Risk Analysis

Data Science

Machine Learning

Predictive Modelling

Problem Solving

Analytical Skills

Python Programming

R Code

SQL

Statistical Data Analysis

Education

Bachelor's degree in IT or Quantitative fields

Postgraduate degree in quantitative or related fields

Tools

AWS

Data Warehouse

Data Mapping

Job description

Join a global financial services organisation whose core purpose is to seek out and invest in exceptional individuals who understand and support their core purpose, and whose values align and pride themselves with attracting intellectual leaders who are the best in their respective field. You will be accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire credit life cycle.

Responsibilities:

• Understand and interpret business requirements and translate them into analytical reporting solutions.
• Play a leading role in the development and application of predictive models across the entire credit life cycle.
• Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques.
• Monitor and report on the effectiveness of scorecard strategies.
• Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming, R Code, SQL, Statistical Data Analysis.

Qualifications and Experience:

• Bachelor's degree in IT or Quantitative fields or related fields.
• Postgraduate degree in quantitative or related fields (simply an advantageous).
• 5 to 8 years commercial data analytics experience.
• Data warehouse experience.
• ODS experience.
• Good experience with data structures.
• Structured and non-structured data experience.
• AWS (some cloud experience but not essential).
• Data mapping.

The Reference Number for this position is NG59979 which is a Permanent Hybrid position in Johannesburg offering a salary of R1mil up to R1.3mil CTC salary negotiable based on experience.